Astronomy and Astrophysics – Astrophysics
Scientific paper
2001-08-16
Mon.Not.Roy.Astron.Soc. 335 (2002) 909
Astronomy and Astrophysics
Astrophysics
Substantial revision to original submission. Accepted for publication in MNRAS. 10 pages. 7 figures
Scientific paper
10.1046/j.1365-8711.2002.05673.x
The weak lensing shear signal has been measured numerically in $N$-body simulations at 14 different redshifts ($z_s = 0.1$ to 3.6) and on angular scales of $\theta = 2'$ to 32'. In addition, the data have been validated by analytical computations for an identical cosmology, with density parameter $\Omega_m = 0.3$ and vacuum energy density parameter $\lambda_0 = 0.7$. This paper reports on the scale and redshift dependence of the shear variance, $<\gamma^2>$, which may be described by a simple formula of the form $<\gamma^2>(\theta,z_s) = a(\theta)z_s^{b(\theta)}$. The redshift dependence for source redshifts up to 1.6, is found to be close to $z_s^2$, which is a stronger dependence than earlier analytical predictions ($<\gamma^2 > \propto z_s^{1.52}$), although, at higher redshifts, the $z_s$ dependence of the shear variance is clearly less steep. The strong redshift dependence further emphasises the need to know the precise redshift distribution for the galaxy sources in any given survey, so that they can be allocated to redshift bins accordingly, and the cosmic shear signal correctly interpreted. Equations are also given for the variance in the reduced shear, which is a more directly measurable quantity observationally.
No associations
LandOfFree
The redshift and scale dependence of the cosmic shear signal from numerical simulations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with The redshift and scale dependence of the cosmic shear signal from numerical simulations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The redshift and scale dependence of the cosmic shear signal from numerical simulations will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-395972